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DOC: Remove invalid link in Communication Guide (matplotlib#29566)
* DOC: Remove invalid link in Communication Guide * DOC: Revise the don'ts in sharing visualizations * DOC: Correct a typo in communication_guide.rst * Update doc/devel/communication_guide.rst Co-authored-by: hannah <story645@gmail.com> * Moved a bullet point to General Guidelines * Moved an important rule to the top --------- Co-authored-by: hannah <story645@gmail.com>
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doc/devel/communication_guide.rst

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@@ -10,10 +10,10 @@ community venue managed by Matplotlib.
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Our approach to community engagement is foremost guided by our :ref:`mission-statement`:
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* We demonstrate that we care about visualization as a practice
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* We demonstrate that we care about visualization as a practice.
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* We deepen our practice and the community’s capacity to support users,
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facilitate exploration, produce high quality visualizations, and be
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understandable and extensible
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understandable and extensible.
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* We showcase advanced use of the library without adding maintenance burden to
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the documentation and recognize contributions that happen outside of the github
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workflow.
@@ -90,7 +90,7 @@ media accounts:
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* Everyone else should send an email to matplotlib-social-admin@numfocus.org:
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* Introduce yourself - github handle and participation in the community.
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* Introduce yourself - GitHub handle and participation in the community.
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* Describe the reason for wanting to moderate or contribute to social.
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@@ -105,6 +105,8 @@ guidelines, ask on the :ref:`social-media-coordination` channels before posting.
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General guidelines
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------------------
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* Do not share information that violates Matplotlib's :ref:`code of conduct <code_of_conduct>` or does not align with Matplotlib's :ref:`mission-statement`.
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* Focus on Matplotlib, 3rd party packages, and visualizations made with Matplotlib.
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* These are also acceptable topics:
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@@ -118,14 +120,15 @@ General guidelines
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* Follow communication best practices:
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* Do not share non-expert visualizations when it could cause harm:
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* Do not share non-expert visualizations when it could cause harm, e.g.:
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* e.g. https://x.com/matplotlib/status/1244178154618605568
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* Could the information affect someone's decisions in a way that impacts their personal health or safety?
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* Could the information be used as part of a politicised debate?
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* Clearly state when the visualization data/conclusions cannot be verified.
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* Do not rely on machine translations for sensitive visualization.
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* Verify sourcing of content (especially on instagram & blog):
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* Verify sourcing of content (especially on Instagram & blog):
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* Instagram/blog: ensure mpl has right to repost/share content
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* Make sure content is clearly cited:

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